Yong Jiu Qun Long logo

Yong Jiu Qun Long

Community
ace3000chao
yong-jiu-qun-long

基于《易经》乾卦"用九"的集体决策智慧。当创业者面临需要独断决策的关键时刻,用"群龙无首"的协作机制替代个人专断,实现组织的集体进化。 适用于: 创业者独自面对重大决策(融资、战略转向、团队整合)并有强烈个人倾向时;或团队出现"一把手说了算"的决策模式时。 不适用于: 紧急危机需要快速反应的情况;或团队规模极小(≤3人)缺乏集体基础。 关键trigger信号: "我想"、"我觉得"、"这事我说了算"、"按我说的办"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameyong-jiu-qun-long
Stars
93
Forks
14
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the Yong Jiu Qun Long AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ace3000chao/book2startup/tree/master/易经skills/yong-jiu-qun-long
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Yong Jiu Qun Long in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Yong Jiu Qun Long on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Yong Jiu Qun Long is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

用九,见群龙无首,吉

R — 原文 (Reading)

"用九,见群龙无首,吉。" "乾元用九,天下治也。" — 《易经》乾卦·用九


I — 方法论骨架 (Interpretation)

"群龙无首"不是没有领袖,而是让多条龙各展所长,没有哪条龙处于绝对控制地位。这是最理想的组织状态——每个人都是龙,都有决策权,整体却和谐有序。

乾元用九,天下治:天的元气发挥到极致(用九),天下才能大治。应用到创业决策中:

  • 警惕"首"的诱惑:创业者天然倾向"我来决定",但越重要的决策越需要集体智慧
  • 群龙并起:让核心团队成员各自表达见解,形成真正的讨论而非走过场
  • 无首的机制:建立让所有人都能发言、最终决策基于共识而非权威的决策流程
  • 吉的来源:这种集体决策之所以"吉",是因为它调动了组织整体智慧,降低了个人盲点带来的风险

本质是用"机制"替代"意志",让决策质量超越个人能力边界。


A1 — 书中的应用 (Past Application)

案例1: 周公还政成王

  • 问题: 周武王去世后,年幼的成王继位,周公旦作为摄政王实际掌控朝政七年,权力达到顶峰
  • 方法论的使用: 周公没有选择"首"的路线,而是在成王成年后还政于王,让周朝回到群龙并立的格局,而非一人独大
  • 结论: 周公以"无首"为法,还政成王,建立起真正的集体传承机制
  • 结果: 周朝政治稳定,为八百年基业奠定制度基础;周公因此被尊为"元圣"

案例2: 华为轮值CEO制度

  • 问题: 任正非作为华为创始人,如何避免个人决策局限性影响企业长期发展
  • 方法论的使用: 华为建立轮值CEO制度,让不同领导者轮番主持决策,打破"一龙首"模式
  • 结论: 用机制替代个人权威,组织智慧超越个体
  • 结果: 华为在多次重大决策中避免了个人判断失误,成为全球科技领导者

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 创业者独自面对重大决策,有强烈的个人倾向,并准备直接拍板("我想这么做")
  2. 团队讨论变成一言堂,其他成员附和创业者意见,缺乏真正的异议
  3. 创业项目进入关键转折期(融资、战略调整、核心人员整合),决策风险极高

语言信号

  • "这事我说了算"
  • "按我说的办就行了"
  • "你们有什么意见吗?"(其实内心已有定论)
  • "我觉得这个方向是对的,不需要再讨论了"
  • "我是创始人,失败了也是我负责"

与相邻 skill 的区分

  • 与 ce01(亢龙有悔)的区别: ce01强调"过度亢进必有悔",本skill强调"独断决策的系统性风险";本skill更侧重决策机制层面
  • 与 f19(盈亏警示法)的区别: f19是风险预警,本skill是决策方式;两者可配合使用

E — 可执行步骤 (Execution)

  1. 暂停独断,引入异见

    • 完成标准: 在做出最终决定前,专门安排一次"反对意见征集",明确询问"谁反对?为什么?"
    • 判停条件: 若团队≤3人,跳到步骤3
  2. 建立集体决策机制

    • 完成标准: 将原决策问题拆解为3个以上子问题,让不同成员分别负责研究和提出方案,最终合并
    • 判停条件: 若成员拒绝参与讨论,记录原因后跳到步骤4
  3. 设置决策缓冲期

    • 完成标准: 对重大决策设立"24-72小时冷静期",期间不正式宣布结论,允许任何人提出新信息
    • 判停条件: 若情况紧急(≤24小时需决策),记录风险后记录放弃本skill的原因
  4. 记录分歧,达成共识

    • 完成标准: 最终决策形成文字,说明"一致同意"还是"多数同意但存在以下分歧",分歧内容一并记录
    • 判停条件: 若最终仍是"创始人独断",则在记录中标注"本决策未使用集体决策机制,风险自担"

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 紧急危机情境(公司面临生死存亡的即时威胁,≥24小时必须决断),此时需要快速决策而非民主讨论
  • 团队规模极小(≤3人),缺乏集体决策的基础,另类讨论反而制造尴尬
  • 所涉决策属于创始人个人专业领域且团队完全缺乏相关经验——此时创始人的判断力确实是团队最优资产

作者在书中警告的失败模式

  • "用九"的反面是"只用一",即完全依赖单一决策者;历史上无数王朝和企业的覆灭都源于此
  • 群龙无首之所以吉,是因为它调动了所有人的智慧;假装民主实际独断,比直接独断更危险

作者的盲点 / 时代局限

  • 封建宗法背景:乾卦的"群龙无首"预设了贵族共同体的存在,现代创业企业需要主动构建这种共同体
  • 德治乌托邦假设:书中假设参与者都是"龙"(有德有才),现实中团队成员能力参差,需要领导者在使用本skill时承担更多引导责任

容易混淆的邻近方法论

  • ce01(亢龙有悔):更强调"过度"的危害,本skill强调"机制缺失"的危害;两者互补
  • p06(或跃在渊):强调个体蓄势待发,本skill强调集体决策;方向上一个是个体进击,一个是组织收敛

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 蒸馏时间: 2026-04-21
  • 来源: 阶段1.5 verified.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Yong Jiu Qun Long AI skill do?

基于《易经》乾卦"用九"的集体决策智慧。当创业者面临需要独断决策的关键时刻,用"群龙无首"的协作机制替代个人专断,实现组织的集体进化。 适用于: 创业者独自面对重大决策(融资、战略转向、团队整合)并有强烈个人倾向时;或团队出现"一把手说了算"的决策模式时。 不适用于: 紧急危机需要快速反应的情况;或团队规模极小(≤3人)缺乏集体基础。 关键trigger信号: "我想"、"我觉得"、"这事我说了算"、"按我说的办"。

Why use Yong Jiu Qun Long on TypingMind?

Because you install it once and use it with any model. Yong Jiu Qun Long is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Yong Jiu Qun Long in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/易经skills/yong-jiu-qun-long. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Yong Jiu Qun Long?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Yong Jiu Qun Long?

As many as you like. As long as a model supports skills, you can use Yong Jiu Qun Long with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Yong Jiu Qun Long AI skill free?

Yes. It is published on GitHub by ace3000chao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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